Two-User Gaussian Interference Channels: An Information Theoretic Point of View (Foundations and Trends (R) in Communications and Information Theory) . in Communications and Information Theory) [Paperback] Shang, Xiaohu and Chen, Biao. Questo articolo non è disponibile.
Lingua: inglese
Editore: WORLD SCIENTIFIC PUBLISHING, 2013
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Unused, some outer edges have minor scuffs, cover has light scratches, some outer pages have marks from shelf wear, book content is in like new condition.
Codice articolo 096430-8
- Titolo
- Two-User Gaussian Interference Channels: An Information Theoretic Point of View (Foundations and Trends (R) in Communications and Information Theory) . in Communications and Information Theory) [Paperback] Shang, Xiaohu and Chen, Biao
- Autore
- Shang, Xiaohu
- Editore
- WORLD SCIENTIFIC PUBLISHING
- Anno di pubblicazione
- 2013
- Condizione
- Very Good
- Rilegatura
- Brossura
- Lingua
- inglese
- ISBN 10
- 1601987323
- ISBN 13
- 9781601987327
Gaussian Interference Channels introduces both classic and recent capacity theorems for the two-user Gaussian interference channel including both the single-antenna and the multiple-antenna cases. The reader is presented with a comprehensive overview of the single-antenna case. Starting from the basics, including capacity outer bounds and achievable rate region several capacity results for single antenna Gaussian interference channel are described. This section concludes with a full discussion on the capacity region and sum-rate capacity for various types of interference.
The more complex multiple-antenna case uses multiple-dimensional signaling that results in new interference states including generally strong, generally noisy and generally mixed interference are introduced to obtain capacity theorems that generalize those for the single-antenna case.
Gaussian Interference Channels is essential reading for all researchers and scientists in information theory and communications.
The more complex multiple-antenna case uses multiple-dimensional signaling that results in new interference states including generally strong, generally noisy and generally mixed interference are introduced to obtain capacity theorems that generalize those for the single-antenna case.
Gaussian Interference Channels is essential reading for all researchers and scientists in information theory and communications.
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